This repository contains various projects related to computer vision and artificial intelligence.
- Description: This project is a deep learning model that can classify images of dogs and cats.
- Link: DogCatClassifier
- Description: This project detects drowsiness in drivers using computer vision techniques.
- Link: DrowsinessDetection
- Description: This project detects whether a person is wearing a face mask or not in real-time.
- Link: FaceMaskDetection
- Description: This project is a deep learning model that classifies images of flowers into 17 different categories.
- Link: FlowerClassifier17
- Description: This project predicts housing prices using machine learning algorithms.
- Link: HousingPricePrediction
- Description: This project performs image segmentation using advanced deep learning techniques.
- Link: SegmentAnythingAI
- Description: This project applies clustering algorithms to satellite images for analyzing patterns.
- Link: SatelliteImageClustering
- Description: This project utilizes transformer-based models for object detection in images.
- Link: TransformerObjectDetection
- Description: This project performs real-time image recognition using a webcam feed.
- Link: ImageRecognition
- Description: This project uses deep learning to detect diseases from X-ray images.
- Link: XrayDiseaseDetection
To get started with the projects in this repository, you can clone the repository locally by running the following command:
git clone https://github.com/MohammadMoradpoor/VisualAIProjects.gitMake sure you have Git installed on your system. After cloning the repository, you can navigate to each project's directory and explore the code.
Contributions to this repository are welcome. If you would like to contribute, please follow these guidelines:
- Fork the repository and clone it locally.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them with descriptive commit messages.
- Push your changes to your forked repository.
- Submit a pull request detailing your changes.